2017
DOI: 10.1080/17512786.2017.1386583
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Classifying Data Journalism

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Cited by 73 publications
(45 citation statements)
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References 18 publications
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“…The building of locally adapted toolboxes and the growing use of commercial graphical shelf-ware offer opportunities for ordinary journalists to create simple data visualizations, such as bar charts, line graphs and maps, as add-ons to their news stories. This result is in line with findings from a quantitative study recently published by Florian Stalph (2017). At the same time, growing accessibility of user-friendly software indirectly supports the production of more complex DVs as well, because it frees time for expert teams to design more creative visualizations.…”
Section: Identifying Trends and Critical Factorssupporting
confidence: 88%
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“…The building of locally adapted toolboxes and the growing use of commercial graphical shelf-ware offer opportunities for ordinary journalists to create simple data visualizations, such as bar charts, line graphs and maps, as add-ons to their news stories. This result is in line with findings from a quantitative study recently published by Florian Stalph (2017). At the same time, growing accessibility of user-friendly software indirectly supports the production of more complex DVs as well, because it frees time for expert teams to design more creative visualizations.…”
Section: Identifying Trends and Critical Factorssupporting
confidence: 88%
“…Comparing our findings to earlier research, our results indicate two things: that interest and investments in data visualization, even in more advanced forms, has been strengthened in Scandinavian newsrooms the last three to four years (cf. Appelgren & Nygren 2014;Karlsen & Stavelin 2014) and that the trend towards more but simpler DVs in everyday news combined with more creativity in occasional bigger projects, as reported by Loosen et al (2017), Stalph (2017) and Young et al (2017), can also be found in Scandinavian news rooms.…”
Section: Identifying Trends and Critical Factorsmentioning
confidence: 61%
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“…Hitherto, most analyses of data journalism artefacts resorted to descriptive accounts of chart types and degrees of interactivity or data providers. Most of these endeavours were either standalone quantitative analyses (see Appelgren, 2018;Knight, 2015;Lowrey & Hou, 2018;Ojo & Heravi, 2017;Reimer & Loosen, 2017;Stalph, 2017;Tandoc & Oh, 2017;Young, Hermida, & Fulda, 2018) or integrated within qualitative designs (see De Maeyer et al, 2015;Parasie, 2015;Parasie & Dagiral, 2013;Tabary, Provost, & Trottier, 2016;Young & Hermida, 2015;Zhang & Feng, 2018). Few of these studies, however, take into account sociomaterial underpinnings of such artefacts.…”
Section: Artefacts Of Data Journalismmentioning
confidence: 99%
“…(Loosen et al 2017;Ojo & Heravi 2017;Young et al 2017), or studies of specific news organisations data journalism and data visualisation practices, e.g. (Stalph 2017).…”
Section: Related Workmentioning
confidence: 99%